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Weekly OHDSI Digest-April 29, 2004


Please join our April 30 (11 am ET) community call for an interactive session to highlight all the advancements made during the April Olympians collaborative activity. This call will be led by our April Olympians co-leads:

- Clair Blacketer , Director, Observational Health Data Analytics, Janssen Research & Development

  • Melanie Philofsky, Senior Business Analyst and Project Manager, Odysseus Data Services, Inc.

Everybody is invited. Calendar invites went out last week. If you did not receive one, please use this link to join the meeting. All recordings from these weekly calls are available within our Teams environment and will be posted on both our YouTube page and our OHDSI.org Community Calls page


Upcoming Workgroup Calls – OHDSI


• Congratulations to the team of Martin Baumgartner, Karl Kreiner, Aaron Lauschensky, Bernhard Jammerbund, Klaus Donsa, Dieter Hayn, Fabian Wiesmüller, Lea Demelius, Robert Modre-Osprian, Sabrina Neururer, Gerald Slamanig, Sarah Prantl, Luca Brunelli, Bernhard Pfeifer, Gerhard Pölzl, and Günter Schreier on the publication of Health data space nodes for privacy-preserving linkage of medical data to support collaborative secondary analyses in Frontiers in Medicine.

• Congratulations to the team of Chungsoo Kim, Dong Han Yu, Hyeran Baek, Jaehyeong Cho, Seng Chan You, and Rae Woong Park on the publication of Data Resource Profile: Health Insurance Review and Assessment Service Covid-19 Observational Medical Outcomes Partnership (HIRA Covid-19 OMOP) database in South Korea in the International Journal of Epidemiology.

• Congratulations to the team of Markus Falgenhauer, Aaron Lauschensky, Karl Kreiner, Stefan Beyer, Kristina Reiter, Andreas Ziegl, Robert Modre-Osprian, Bernhard Pfeifer, Sabrina Neururer, Susanne Krestan, Hanna Wagner, Andreas Huber, Sandra Plaikner, Sarah Kuppelwieser, Martin Widschwendter, and Günter Schreier on the publication of Towards an Electronic Health Prevention Record Based on HL7 FHIR and the OMOP Common Data Model in Volume 313 of Studies in Health Technology and Informatics.

• Congratulations to the team of Evgeniy Krastev, Emanuil Markov, Simeon Abanos, Ralitsa Krasteva, and Dimitar Tcharaktchiev on the publication of Mapping the Bulgarian Diabetes Register to OMOP CDM: Application Results in Volume 313 of Studies in Health Technology and Informatics.


DevCon 2024 served as an opportunity to connect our global open-source community and discuss ways we can collaborate and continue enhancing the future of OHDSI open-source software. The full agenda from the event is posted below, and recordings are available on the event homepage.

• Applications are being accepted to join the 2024-25 Kheiron Cohort. This program is designed to onboard new contributors into OHDSI to empower them to become active contributors and maintainers. The goals are to provide career development, create a global perspective of the ecosystem, build cross-connections between projects and develop future leaders for OHDSI. You can apply for the upcoming cohort now!

• Applications are also being accepted for the 2024 Maternal Health Data Science Fellowship, which is designed to empower clinical investigators to leverage emerging technologies for improved maternal and neonatal care while reducing morbidity and mortality. The program, which will include the components of career development, practice and networking, will train clinical investigators in observational research methods to enable them to conduct reproducible research and generate real-world evidence. More information, including application details, are now available, and the deadline to apply is May 15, 2024.

• Linying Zhang is organizing a workshop on “AI for Reliable and Equitable Real-World Evidence Generation in Medicine” at the 22nd International Conference on Artificial Intelligence in Medicine (AIME), happening at Salt Lake City, Utah, on July 9-12, 2024. The workshop focuses on advancing the understanding and exploring the transformative role of artificial intelligence (AI) in analyzing real-world data (RWD) for real-world evidence (RWE) generation. George Hripcsak will be delivering the opening keynote speech. The workshop will also feature scientific presentations from authors with accepted papers or abstracts, and potentially a panel or debate. The intended length is 4 hours. We are calling for submissions of full papers, short papers, and poster abstracts! The submission deadline is May 31, 2024. More information is available on the workshop or AIME Conference homepages.

OHDSI Social Showcase

• Research from the 2023 Global Symposium Collaborator Showcase can be viewed on the Global Symposium Showcase page. Research is also being shared daily on OHDSI’s LinkedIn, Twitter/X and Instagram feeds as part of the #OHDSISocialShowcase. Below are posters (with study leads) that are featured this week:

Monday — Opportunity and Challenge of Implementing the OHDSI System in Indonesia (Dian Tri Wiyanti)

Tuesday — HowOften: Large Scale Incidence Rate Calculation of Every Side Effect for Every Drug (Elise Ruan)

Wednesday — Agreement between measurement and diagnosis-based phenotype algorithms (Azza Shoaibi)

Thursday — Comparing Patient Self-Reported Symptoms with SNOMED/ICD-10-CM Codes at Primary Care Visits (Victor Castro)

Friday — Using the Informatics for Integrating Biology and the Bedside Platform to Query OMOP Data in the OHDSI Ecosystem (Jeffrey Klann)


• Registration is now OPEN for the 2024 OHDSI Europe Symposium, which will be held June 1-3 in Rotterdam, Netherlands. There will be tutorials and workshops June 1-2 at the Erasmus University Medical Center, and the main conference will be held Monday, June 3, on the Steam Ship Rotterdam. Please visit the event homepage for more information and registration details.

2024 Global Symposium

Registration is now open for the 2024 Global Symposium, which will be held Oct. 22-24 at the Hyatt Regency Hotel in New Brunswick, N.J., USA. The three-day event will feature tutorials on Day 1, plenaries and the collaborator showcase on Day 2, and workgroup activities on Day 3.

• Day 1 will open with a single tutorial in the morning: An Introduction to the Journey from Data to Evidence using OHDSI. There will be four advanced tutorials during the afternoon: An Introduction to the Journey from Data to Evidence using OHDSI; Developing and Evaluating Your Extract, Transform, Load (ETL) Process to the OMOP Common Data Model; So, You Think You Want To Run an OHDSI Network Study?; and Using the OHDSI Standardized Vocabularies for Research. You can select your tutorials during the registration process.

• Collaborator Showcase submissions are now being accepted, and all details about the event are available here. Submissions are due by Friday, June 21, at 8 pm ET. Notifications of acceptance will be sent out by Tuesday, Aug. 20.


Dani Prieto-Alhambra recently shared an opening for two Research Assistants in Health Data Sciences to join the Pharmaco- and Device epidemiology research group at the Botnar Research Centre, NDORMS, University of Oxford. In this role, you will contribute to the programming of analytical pipelines for the analysis of routinely collected data mapped to the OMOP Common Data Model. You will analyze real world data to address regulatory questions related to the prevalence/incidence of disease, use of medicines/vaccines, and the risks or benefits of medicines/vaccines or devices. You will prepare analytical packages to run a number of pre-specified analyses, contribute to wider project planning, including ideas for new research projects and gather, analyze, and present scientific data from a variety of sources. The application deadline is May 10. More information and an application link are available here .

Alex Asiimwe shared an opening for a Director, RWE – Data Science at Gilead. As a RWE Data Scientist (OMOP/OHDSI), you will play a crucial role in designing, implementing, and maintaining healthcare data solutions using the OHDSI framework. This position offers an exciting opportunity to contribute to advancements in health informatics and research.

Linying Zhang shared openings for both a Postdoc and a Senior Data Analyst at the Washington University School of Medicine in St. Louis. Successful candidates will work on causal machine learning and responsible AI for reliable real-world evidence generation. Interested applicants should send a CV and cover letter to linyingz@wustl.edu.


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